Full-Stack Software Engineer building and shipping scalable web applications across healthcare, banking, and media — from database design and REST APIs to user interfaces and production deployment.Full-Stack Software Engineer yang membangun dan men-deploy aplikasi web skalabel di industri kesehatan, perbankan, dan media — dari desain database dan REST API sampai antarmuka pengguna dan production deployment.
Built a full-stack Hospital Management System (React.js/Next.js, Node.js, PostgreSQL) covering 50+ modules, cutting patient registration time by 40% and initial load time by 35%.Membangun full-stack Hospital Management System (React.js/Next.js, Node.js, PostgreSQL) untuk 50+ modul, memangkas waktu pendaftaran pasien 40% dan waktu load awal 35%.
Developed and maintained high-traffic content pages for the GNFI Insight platform using Next.js, with reusable UI components documented in Storybook.Mengembangkan dan merawat halaman konten high-traffic untuk platform GNFI Insight menggunakan Next.js, dengan komponen UI reusable terdokumentasi di Storybook.
Simulated 10,000+ concurrent users on a core banking system; identified 50+ critical defects that contributed to a 25% reduction in system response time.Simulasi 10.000+ pengguna konkuren pada sistem perbankan inti; menemukan 50+ defect kritis yang berkontribusi pada penurunan 25% response time sistem.
Led a 6-person team building a competition platform from scratch for 1,000+ participants across 30+ schools, using React/Next.js (TypeScript) and a Golang backend.Memimpin tim 6 orang membangun platform kompetisi dari nol untuk 1.000+ peserta di 30+ sekolah, menggunakan React/Next.js (TypeScript) dan Golang backend.
I bridged the Machine Learning model to end users — designing the REST API with Node.js (Express.js), integrating the prediction model into a Vertex AI Endpoint, and connecting it to the mobile app through the backend I built on Google Cloud Platform.Saya menjembatani model Machine Learning ke pengguna akhir — merancang REST API dengan Node.js (Express.js), mengintegrasikan model prediksi ke Vertex AI Endpoint, dan menyambungkannya ke aplikasi mobile lewat backend yang saya bangun di Google Cloud Platform.
Developed and designed a NestJS-based microservices backend and AWS cloud integration for an AI-powered fitness app, leveraging SageMaker for AI inference, Redis for caching, and RabbitMQ for asynchronous inter-service communication.Mengembangkan dan merancang backend microservices berbasis NestJS serta integrasi cloud AWS untuk aplikasi fitness berbasis AI, dengan SageMaker, Redis, dan RabbitMQ untuk AI inference, caching, dan komunikasi asynchronous antar-service.
